{
  "id": "knowledge-fabric-impl:zep-fabric",
  "_kind": "KnowledgeFabricImpl",
  "_file": "agent-stack/knowledge-fabric-impls/memory-service-fabrics.yaml",
  "_cluster": "agent-stack",
  "attributes": {
    "displayName": "Zep as Agent Memory Fabric",
    "description": "Zep as an agent-facing memory knowledge fabric. Persists, summarizes,\nand retrieves conversation history with entity extraction and temporal\nawareness. Enriches memories with structured entity graphs — tracking\npeople, organizations, and concepts mentioned across conversations.\nREST API and SDKs for Python and TypeScript. As a knowledge fabric,\nZep provides conversation-centric knowledge with temporal reasoning —\nunderstanding not just what was discussed but when and in what order.\n",
    "knowledgeFileFormats": [
      "conversation-history",
      "entity-extracts",
      "fact-triples"
    ],
    "retrievalStrategy": "hybrid",
    "knowledgePersistence": "memory-service",
    "knowledgeScopes": [
      "user",
      "agent"
    ],
    "autoExtractionSupport": true,
    "notes": "Zep's temporal awareness sets it apart from simple vector stores — it\nunderstands that knowledge has a time dimension. Fact retrieval is\ntime-weighted, so recent knowledge is prioritized. Entity extraction\nbuilds a knowledge graph of entities mentioned in conversations,\nenabling relationship-aware retrieval. This makes Zep particularly\nsuited for long-running agent relationships where context evolution\nmatters.\n"
  },
  "outgoingEdges": [
    {
      "from": "knowledge-fabric-impl:zep-fabric",
      "to": "layer:12-knowledge-fabric",
      "kind": "realizes",
      "attributes": {}
    },
    {
      "from": "knowledge-fabric-impl:zep-fabric",
      "to": "tool:zep",
      "kind": "integrates_with",
      "attributes": {}
    },
    {
      "from": "knowledge-fabric-impl:zep-fabric",
      "to": "memory-system:zep-service",
      "kind": "uses_memory_system",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}